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Graphons, mergeons, and so on!

Graphons, mergeons, and so on!

6 July 2016
Justin Eldridge
M. Belkin
Yusu Wang
    GNN
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Papers citing "Graphons, mergeons, and so on!"

9 / 9 papers shown
Title
Does Graph Distillation See Like Vision Dataset Counterpart?
Does Graph Distillation See Like Vision Dataset Counterpart?
Beining Yang
Kai Wang
Qingyun Sun
Cheng Ji
Xingcheng Fu
Hao Tang
Yang You
Jianxin Li
DD
19
39
0
13 Oct 2023
Implicit Graphon Neural Representation
Implicit Graphon Neural Representation
Xinyue Xia
Gal Mishne
Yusu Wang
GNN
AI4CE
50
5
0
07 Nov 2022
Diffusion Models for Graphs Benefit From Discrete State Spaces
Diffusion Models for Graphs Benefit From Discrete State Spaces
K. Haefeli
Karolis Martinkus
Nathanael Perraudin
Roger Wattenhofer
DiffM
106
52
0
04 Oct 2022
SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits
  of One-shot Graph Generators
SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators
Karolis Martinkus
Andreas Loukas
Nathanael Perraudin
Roger Wattenhofer
44
67
0
04 Apr 2022
Convergence of Invariant Graph Networks
Convergence of Invariant Graph Networks
Chen Cai
Yusu Wang
66
4
0
25 Jan 2022
Nonparametric Modeling of Higher-Order Interactions via Hypergraphons
Nonparametric Modeling of Higher-Order Interactions via Hypergraphons
Krishnakumar Balasubramanian
22
12
0
18 May 2021
Structured Graph Learning for Clustering and Semi-supervised
  Classification
Structured Graph Learning for Clustering and Semi-supervised Classification
Zhao Kang
Chong Peng
Q. Cheng
Xinwang Liu
Xi Peng
Zenglin Xu
Ling Tian
28
132
0
31 Aug 2020
Identifiability of Nonparametric Mixture Models and Bayes Optimal
  Clustering
Identifiability of Nonparametric Mixture Models and Bayes Optimal Clustering
Bryon Aragam
Chen Dan
Eric Xing
Pradeep Ravikumar
24
29
0
12 Feb 2018
Spectral clustering in the dynamic stochastic block model
Spectral clustering in the dynamic stochastic block model
Marianna Pensky
Teng Zhang
35
75
0
02 May 2017
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